High-dimensional Graphical Model Search with gRapHD R Package
Machine Learning
2019-09-24 v4 Computation
Abstract
This paper presents the R package gRapHD for efficient selection of high-dimensional undirected graphical models. The package provides tools for selecting trees, forests and decomposable models minimizing information criteria such as AIC or BIC, and for displaying the independence graphs of the models. It has also some useful tools for analysing graphical structures. It supports the use of discrete, continuous, or both types of variables simultaneously.
Cite
@article{arxiv.0909.1234,
title = {High-dimensional Graphical Model Search with gRapHD R Package},
author = {Gabriel C. G. de Abreu and Rodrigo Labouriau and David Edwards},
journal= {arXiv preprint arXiv:0909.1234},
year = {2019}
}
Comments
20 pages with 8 figures